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Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.

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Title: Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.
Authors: Hendrix N; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, District of Columbia, United States of America., Parikh RV; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, California, United States of America., Taskier M; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, District of Columbia, United States of America., Walter G; Robert Graham Center, American Academy of Family Physicians, Washington, District of Columbia, United States of America., Rochlin I; Inform and Disseminate Division, Office of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Saydah S; Coronavirus and Other Respiratory Viruses Division, National Center for Immunizations and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Koumans EH; Coronavirus and Other Respiratory Viruses Division, National Center for Immunizations and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Rincón-Guevara O; Inform and Disseminate Division, Office of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Rehkopf DH; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, California, United States of America., Phillips RL; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, District of Columbia, United States of America.
Source: PloS one [PLoS One] 2025 May 16; Vol. 20 (5), pp. e0324017. Date of Electronic Publication: 2025 May 16 (Print Publication: 2025).
Publication Type: Journal Article; Multicenter Study; Observational Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.
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  Data: <searchLink fieldCode="AU" term="%22Hendrix+N%22">Hendrix N</searchLink>; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Parikh+RV%22">Parikh RV</searchLink>; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, California, United States of America.<br /><searchLink fieldCode="AU" term="%22Taskier+M%22">Taskier M</searchLink>; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Walter+G%22">Walter G</searchLink>; Robert Graham Center, American Academy of Family Physicians, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Rochlin+I%22">Rochlin I</searchLink>; Inform and Disseminate Division, Office of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22Saydah+S%22">Saydah S</searchLink>; Coronavirus and Other Respiratory Viruses Division, National Center for Immunizations and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22Koumans+EH%22">Koumans EH</searchLink>; Coronavirus and Other Respiratory Viruses Division, National Center for Immunizations and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22Rincón-Guevara+O%22">Rincón-Guevara O</searchLink>; Inform and Disseminate Division, Office of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22Rehkopf+DH%22">Rehkopf DH</searchLink>; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, California, United States of America.<br /><searchLink fieldCode="AU" term="%22Phillips+RL%22">Phillips RL</searchLink>; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, District of Columbia, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2025 May 16; Vol. 20 (5), pp. e0324017. <i>Date of Electronic Publication: </i>2025 May 16 (<i>Print Publication: </i>2025).
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              Text: 2025 May 16
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